Changelog

Thanks for your patience in-between release notes — the Venice team has been hard at work over the last month at our all-hands offsite preparing for Venice V2 and shipping our most requested feature to date, Venice Video.

Moving forward, release notes will move to a bi-weekly cadence.

Venice Video

Video generation is now live on Venice for all users.

You can create videos on Venice using both text-to-video and image-to-video generation. This release brings state-of-the-art video generation models to our platform including Sora 2 and Veo 3.1.

You can learn all about this offering here.

Venice Support Bot

• Launched AI-powered Venice Support Bot for instant, 24/7 assistance directly in the UI.

• Bot pulls real-time information from venice.ai/faqs to provide up-to-date answers to common questions.

• Users can escalate to create support tickets with context when additional help is needed beyond FAQ responses.

• Available in English, Spanish, and German.

• Accessible via bottom-right corner (desktop) or chat history drawer (mobile browser/PWA).

App

• Launched Image “Remix Mode” - This is like regenerate, but uses AI to modify the original prompt. This provides an avenue to explore image generation prompts in more depth.

• Added “Spotlight Search” to the UI. Press Command+K on a Mac or Control+K on Windows to open the conversation search.

• Add a toggle in the Preferences to control the behavior of the “Enter” key when editing a prompt.

Characters

• Venice has launched a “context summarizer” feature which should improve the LLMs understanding of important events and context in longer character conversations.

API

• Added 3 new models in “beta” for users to experiment with:

  • Hermes Llama 3.1 405b

  • Qwen 3 Next 80b

  • Qwen 3 Coder 480b

• Retired “Legacy Diem” (previously known as VCU). All inference through the API is now billed either through staked tokenized Diem or USD.

It’s been a busy week for our team with 3 major releases, and a slew of updates and bug fixes for you:

• Simple Mode for Pro Users

• Venice… Enhance any Image

• New Image Model: HiDream

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Pro User? Help us test Simple Mode

We're about to roll out the biggest upgrade to the Venice's user experience since our launch: Simple Mode.

Simple Mode provides a streamlined experience by automatically routing your prompts, eliminating the need to manually select a chat type or model (if you ask for an image, it will just know it, without any conception of "Image Mode").

We’ve also added the concept of "image context", which allows you to build images through subsequent prompts. We believe for new users, this will dramatically simplify the user experience, making Venice feel and behave more like other generative AI platforms.

How can you help?

1. Go to your App settings and toggle on Simple Mode. You will see that the model dropdown, and mode selector, will disappear.

2. Chat with Venice and try different prompts in natural language. "Tell me about France" or "Create image of France" etc. Text, web search, image generation, all of it should work automatically.

3. Send your experiences and feedback to [email protected]. Please include screenshots and videos, or share your chat for things that don't seem to work as expected.

We appreciate you taking the time and look forward to hearing your feedback.

Venice… Enhance Image

Pro users can now upscale and enhance any image. Click on the paperclip or drag and drop an image into the image generation chat.

Upscale & Enhance system represents a significant leap beyond traditional pixel-by-pixel methods:

• Use Upscale for accurate enlargements: Use the Upscale feature when you want to maintain the exact style and composition of your image while increasing resolution.

• Use Enhance for creative enhancements: Use the Enhance feature when you want to add details and refinements beyond what's in the original image.

HiDream is now available on Venice

Read more about our latest model in our announcement tweet.

Key Features Prompt adherence - Achieves industry-leading scores on GenEval and DPG benchmarks, outperforming all other open-source models.

Text placement - Effective and accurate text generation and placement, making it useful for graphic design purposes.

Commercial-friendly - Generated images can be freely used for personal projects, scientific research, and other applications.

App

• Added an image generation loading state to make it more clear that the UI is waiting on inference.

• Added a setting to enable display of message timestamps in the App Settings - Featurebase

• Fix crash when editing a chat message and using Space key. - Featurebase

• Updated the error when documents too large to be processed to be human readable.

• Refactored context filtering logic to prevent Your message is too long for the selected model errors when dealing with chat conversations with large histories.

• Ensure that white space submitted in system prompts sent from the app are preserved all the way to the LLM.

• Improved error messages when there are issues communicating with Venice’s inference servers.

• Update the image generation prompt enhancer to ensure messages are constrained to fit within the image prompt limits.

API

• Fixed a regression in streaming responses when invoking tool calling. Added test coverage to avoid future regressions.

• Enabled support for response_format to 405B and Deepseek. Ensure thinking models don't inject <think> tags into the response when response format is enabled.

• Return 504 timeouts when non streaming requests timeout. Recommend use of streaming responses when inference is expected to run for longer durations.

• Remove default `max_tokens` on API calls, permitting inference to use the full context of the LLM unless the user specifies a specific max_tokens

Characters

• Introduced a character avatar popover on larger screens, displaying detailed character information and a quick chat option.

• Added display of character creation date and creator information on public character profiles.

• Introduced clearer visual grouping and dividers in character menus.

• Added a "View & Rate Character" menu item for improved access to rating features

Token

• Updated the token dashboard to fix a few UX issues when used via mobile wallet.

It’s been a big week of updates at Venice and we’re excited to share these platform updates with you. The major changes this week include:

1. Venice Image Engine V2

2. Editing of Conversation History

3. Launch of the Character rating system

4. Migration of all app inference to our new backend

Venice Image Engine V2

Venice Image Engine v2 is now live and represents a comprehensive overhaul of our image generation infrastructure, delivering the highest quality results across a range of styles.

Venice Image Engine v2 consists of two major components:

1. Venice SD35 (New Default model): Custom-configured Stable Diffusion 3.5 engine powered by a Comfy UI workflow backend.

2. Upscale & Enhance (Pro only): Completely new upscaling architecture with proprietary enhancement that creatively in-fills new pixels at the higher resolution.

Venice SD35

Venice implemented substantial improvements to the base Stable Diffusion 3.5 architecture:

Natural language understanding:
Venice SD35 processes conversational language more effectively, so you can describe images as you would to a human artist instead of using awkward keyword lists.

Custom image generation pipeline:
A specialized image generation Comfy UI workflow on the backend that delivers superior results through optimized processing techniques that standard implementations don't provide.

Let’s compare our new default image model Venice SD35 to our previous default image model Fluently:

Upscale and Enhance

The new Upscale & Enhance system represents a significant leap beyond traditional pixel-by-pixel methods:

Use Upscale for accurate enlargements:
Use the Upscale feature when you want to maintain the exact style and composition of your image while increasing resolution.

Use Enhancer for creative enhancements:
Use the Enhance feature when you want to add details and refinements beyond what's in the original image. Adjust the creativity setting based on how much creative liberty you want the AI to take. For consistent results we suggest loading in your original prompt in the prompt field.

Combine for professional outputs:
Combine both approaches by first generating with Venice SD35, then upscaling, and finally applying a subtle enhancement for the highest quality results. Let’s compare zoomed-in screenshots for the following image.

You can read more about this new feature in this Venice blog post.

Characters

• Added character ratings to public Venice characters. Now, Venice users can help curate the best characters on the platform by adding their ratings and perspective to each character.

  

• Closing a character modal with unsaved changes will now prompt the user to avoid losing unsaved work.

• The save button in the character edit modal is now sticky at the bottom of the window.

• Character chats are now consolidated into the character section of the left nav bar.

App

• Launched the ability for Pro members to edit history in their conversations. This was one of the most requested items on Featurebase with 371 votes. Huge shout out to our beta testing team who worked with us to perfect this feature.

• Migrated all chat inference from the Venice app to use Venice’s new backend infrastructure. This change should result in increased performance and maintainability as we continue to scale the business.

• Folders / Characters in the left nav bar are sorted by recent activity.

• Increased the max response token limit on reasoning models 4x to avoid messages being cut off when reasoning extends for long periods of time / high token counts.

• Updated our Markdown rendering to better format messages containing $ signs. This fixes a bug where certain responses from the LLMs would be inappropriately displayed as LaTeX formatted text.

• Added a setting to the App settings panel to remove the warning on external links:

  

• Added a progress bar to the UI when deleting chat history — this makes it more clear what’s going for users with large histories they are deleting.